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Based on the humidity and temperature data of the typical meteorological year in Xiamen, the temperature distribution statistics throughout the year is studied and the air enthalpy difference is calculated.
The result can provide basic principle and referenced data for product improvement and air-conditioning system design.
Based on their results, an ERV should be operated only if it can reduce the enthalpy of outdoor ventilation air, and the greater the reduction of outdoor air enthalpy the lower the coil cooling load.
Substituting data for symbols can have the solution for that tW1 is 28.9˚C and hW1 is 73.54 kJ/kg.

Values of 1/3 octave structure noise of acceleration class was calculated as follow: (1) where, La means 1/3 octave structure noise of acceleration class, a represents the acceleration value of a center frequency, a0 is the datum acceleration.
Therefore, to achieve the purpose of vibration and noise reduction of gearbox, we could minimize the impact of meshing by tip modification and increases the stiffness of the case by means of improve the cover plate.
The modification object is pinion by practical engineering application and cost factors that takes the data into account.
Based on the comprehensive noise reduction practice in the cover portion of the shaft supporting, the stiffeners have been taken to increase the support stiffness, which is respected to decrease the structure noise in three directions.

Utilization of the stress-strain data after necking can improve the quality of the FE analysis by employing realistic data for extrapolating the stress-strain curve.
Based on previous studies on SS321 [9] it was shown that the Swift hardening law (Eq. 1) better predicts the experimental data.
Also, the load-displacement results obtained from Swift law is lower than the experimental data (i.e. lower bound).
In the second approach, to extrapolate the stress-strain curve after the neck, the experimental data was used for Eq. 13.
For each approach, the pulling load versus displacement curve was extracted from the FE model and compared to the experimental data.

., 95121 Catania and 20021 Baranzate (MI), Italy 3CNR-IMM, Sezione di Catania, Catania 95121, Italy 4Development Center for X-Ray Technology (EZRT), Flugplatzstr. 75, D-90768 Fürth, Germany 5Crystallography, University of Freiburg, Herrmann-Herder-Str. 5, D-79104 Freiburg, Germany 6Institute for Advanced Simulations -- Materials Data Science and Informatics (IAS-9), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany 7Chair of Materials Data Science and Materials Informatics, Faculty 5 -- Georesources and Materials Engineering, RWTH Aachen University, 52056 Aachen, Germany apeter.wellmann@fau.de, bmatthias.arzig@fau.de, cjonas.Ihle@fau.de, dmanuel.kollmuss@fau.de, ejohannes.steiner@fau.de, fMarco.Mauceri@lpe-epi.com, gdanilo.crippa@lpe-epi.com, hFrancesco.LaVia@imm.cnr.it, imichael.salamon@iis.fraunhofer.de, jnorman.uhlmann@iis.fraunhofer.de, kmelissa.roder@krist.uni-freiburg.de, la.danilewsky@krist.uni-freiburg.de, mbi.nguyen@fz-juelich.de, ns.sandfeld@fz-juelich.de *corresponding
It should be noted that the thermodynamical data of the phase diagram of SiC presented in literature still vary.
Initially, the reduction of the defect density during SiC crystal growth was much focused on the reduction of the density of micropipes, which are known to be screw dislocations with a burgers vector exceeding the value of 3c.
Due to dislocation motion, however, in the CDD-model dislocations migrate into crystal zones of low shear stress (like into the center of the SiC boule) resulting in a completely different dislocation and plasticity distribution which matches better with experimental data than the AH-model.
Fig. 6 shows a comparison of the AH-model and the CDD-model with experimental data.

The data gathered from these tests are essential for formulating a comprehensive understanding of how the additives affect fire performance and contribute to the safety of the end-use products.
Figure 5 depicted the TGA and derivative thermogravimetry (DTG) curves for these composites, while Table 2 outlined the specific thermal data.
According to the data discussed above, incorporating Al2O3-doped sepiolite into epoxy composites hastens their thermal deterioration.
Therefore, it could produce data that was at least somewhat credible.
DMA test Data Composites Storage modulus Tg/°C Epoxy 2372 172 3% sepiolite–epoxy 2324 178 3% Al2O3–sepiolite–epoxy 1991 177 6% Al2O3–sepiolite–epoxy 2363 175 6% sepiolite–epoxy 2455 177 According to the findings of the dynamic mechanical analysis, sepiolite and Al2O3-doped sepiolite both have a storage modulus that decreases with increasing temperature.

The solar irradiation data is also can be used in the real-time monitoring system to help users know the condition of the equipment and provide the basis data of the evaluate system for power generation.
Data acquisition system Data acquisition system is the core of the whole system.
The data acquisition system is based on an ARM STR711FR2.
The data are stored in PC, the integration is made by software, and the data was acquired at 5-min intervals.
Fig.6 Data acquisition diagram Fig7 Measured daily solar irradiation V.

Study on variable diameter spiral spring Jian GAO 1,a, Jian-zhong WANG2,b and Shi-long ZHANG3, c 1School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081,China 2School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081,China 3School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081,China axiaoshidejia@126.com, cgwy0123456789@sina.com Keywords: non-cylindrical spiral spring ; variable diameter; oblate prism spiral spring; Ansys Workbench; weight reduction List the keywords covered in your paper.
The data shows that: Spring’s total stiffness will be smaller if the diameter of some spring wire segments decrease.
For the mechanical equipment in small arm and aerospace fields, the idea will play an important role in weight reduction.

Using the price of PV devices and accessories, grid electricity tariff and sale-back tariff as economic analysis inputs, and global solar irradiation as solar energy resource data, the system is simulated and optimized by HOMER software.
Research methodology The reported research was undertaken using computer-based renewable energy simulation, with collected weather data and economic data as the inputs.
The weather data of the selected eleven locations in Queensland, the current prices of devices and electricity tariff are introduced in data collection of this section.
Study locations and their climatic data.
As the typical irradiation in the Southern Hemisphere, the annual data curves of all the cities demonstrate cosine waves.

Based on a large number of carbon and oxygen stable isotope data, researched environment characteristics of Ordovician carbonate rocks in Yubei area, Tarim Basin.
According to carbon, oxygen stable isotopes (&13C, &18O) data, combining the diagenetic environment characteristics studied all kinds of geochemical characteristics of rocks in Yubei area.
Author used a lot of carbon and oxygen stable isotope data analyzed the geochemical characteristics and its environmental implications of the study area.
Sea-level changes control of burial rates of organic carbon, rise of the sea level corresponds to a greater burial rates of organic carbon, since the rising sea levels lead to a reduction in the ancient area of land and then the amount of organic carbon from land to ocean also decreased, which makes &13CPDB relative increase in inorganic carbonates[7].

The quality data collection, data quality management and quality data processing are successfully divided into three levels architecture.
The quality of data acquisition is used to complete the data acquisition of production process, integration of heterogeneous data sources and data fusion of local and remote.
The quality data management can be performed on the collected data unpack, pack, analysis, statistics, summarize, query, transfer and other processing.
The quality data processing mainly perform terminal data disposition and connect to the Third-part control of data，decision-making system and ERP modules.
It laid a solid foundation for the realization of remote, real-time and unattended data quality control, and provided data and decision supporting for management decision.